Designing Electronic Data Capture Systems for Sustainability in Low-Resource Settings: Viewpoint With Lessons Learned From Ethiopia and Myanmar.

Electronic data capture (EDC) is a crucial component in the design, evaluation, and sustainment of population health interventions. Low-resource settings, however, present unique challenges for developing a robust EDC system due to limited financial capital, differences in technological infrastructure, and insufficient involvement of those who understand the local context. Current literature focuses on the evaluation of health interventions using EDC but does not provide an in-depth description of the systems used or how they are developed. In this viewpoint, we present case descriptions from 2 low- and middle-income countries: Ethiopia and Myanmar. We address a gap in evidence by describing each EDC system in detail and discussing the pros and cons of different approaches. We then present common lessons learned from the 2 case descriptions as recommendations for considerations in developing and implementing EDC in low-resource settings, using a sociotechnical framework for studying health information technology in complex adaptive health care systems. Our recommendations highlight the importance of selecting hardware compatible with local infrastructure, using flexible software systems that facilitate communication across different languages and levels of literacy, and conducting iterative, participatory design with individuals with deep knowledge of local clinical and cultural norms.

Comparison of obstetric emergency clinical readiness: A cross-sectional analysis of hospitals in Amhara, Ethiopia.

Measuring facility readiness to manage basic obstetric emergencies is a critical step toward reducing persistently elevated maternal mortality ratios (MMR). Currently, the Signal Functions (SF) is the gold standard for measuring facility readiness globally and endorsed by the World Health Organization. The presence of tracer items classifies facilities' readiness to manage basic emergencies. However, research suggests the SF may be an incomplete indicator. The Clinical Cascades (CC) have emerged as a clinically-oriented alternative to measuring readiness. The purpose of this study is to determine Amhara's clinical readiness and quantify the relationship between SF and CC estimates of readiness. Data were collected in May 2021via Open Data Kit (ODK) and KoBo Toolbox. We surveyed 20 hospitals across three levels of the health system. Commodities were used to create measures of SF-readiness (e.g., % tracers) and CC-readiness. We calculated differences in SF and CC estimates and calculated readiness loss across six emergencies and 3 stages of care in the cascades. The overall SF estimate for all six obstetric emergencies was 29.6% greater than the estimates using the CC. Consistent with global patterns, hospitals were more prepared to provide medical management (70.0% ready) compared to manual procedures (56.7% ready). The SF overestimate was greater for manual procedures 33.8% overall for retained placenta and incomplete abortion) and less for medical treatments (25.3%). Hospitals were least prepared to manage retained placentas (30.0% of facilities were ready at treatment and 0.0% were ready at monitor and modify) and most prepared to manage hypertensive emergencies (85.0% of facilities were ready at the treatment stage). When including protocols in the analysis, no facilities were ready to monitor and modify the initial therapy when clinically indicated for 3 common emergencies-sepsis, post-partum hemorrhage and retained placentas. We identified a significant discrepancy between SF and CC readiness classifications. Those facilities that fall within this discrepancy are unprepared to manage common obstetric emergencies, and employees in supply management may have difficulty identify the need. Future research should explore the possibility of modifying the SF or replacing it with a new readiness measurement.

Association between Sexual Activity during Pregnancy, Pre- and Early-Term Birth, and Vaginal Cytokine Inflammation: A Prospective Study of Black Women.

This study aimed to investigate the association between sexual activity during pregnancy and adverse birth outcomes among Black women, and to explore whether vaginal cytokine inflammation mediates this association. Data from 397 Black pregnant women through questionnaires on sexual activity and vaginal biosamples during early (8-14 weeks) and late (24-30 weeks) pregnancy, and birth outcomes were analyzed. Using a data-driven approach, the study found that vaginal sex during late pregnancy was associated with spontaneous early-term birth (sETB, 38-39 completed weeks' gestation) (OR = 0.39, 95% CI: [0.21, 0.72], p-value = 0.003) but not with spontaneous preterm birth (sPTB) (OR = 1.08, p-value = 0.86) compared to full-term birth. Overall, despite vaginal sex in late pregnancy showing an overall positive effect on sETB (total effect = -0.1580, p-value = 0.015), we observed a negative effect of vaginal sex on sETB (indirect effect = 0.0313, p-value = 0.026) due to the fact that having vaginal sex could lead to elevated IL6 levels, which in turn increased the odds of sETB. In conclusion, the study found an overall positive association between sexual activity on ETB and a negative partial mediation effect via increased vaginal cytokine inflammation induced by vaginal sexual activity. This inconsistent mediation model suggested that vaginal sexual activity is a complex behavior that could have both positive and negative effects on the birth outcome.

Scoping review of health information technology usability methods leveraged in Africa.

OBJECTIVE: The aim of this study was to explore the state of health information technology (HIT) usability evaluation in Africa. MATERIALS AND METHODS: We searched three electronic databases: PubMed, Embase, and Association for Computing Machinery. We categorized the stage of evaluations, the type of interactions assessed, and methods applied using Stead's System Development Life Cycle (SDLC) and Bennett and Shackel's usability models. RESULTS: Analysis of 73 of 1002 articles that met inclusion criteria reveals that HIT usability evaluations in Africa have increased in recent years and mainly focused on later SDLC stage (stages 4 and 5) evaluations in sub-Saharan Africa. Forty percent of the articles examined system-user-task-environment (type 4) interactions. Most articles used mixed methods to measure usability. Interviews and surveys were often used at each development stage, while other methods, such as quality-adjusted life year analysis, were only found at stage 5. Sixty percent of articles did not include a theoretical model or framework. DISCUSSION: The use of multistage evaluation and mixed methods approaches to obtain a comprehensive understanding HIT usability is critical to ensure that HIT meets user needs. CONCLUSIONS: Developing and enhancing usable HIT is critical to promoting equitable health service delivery and high-quality care in Africa. Early-stage evaluations (stages 1 and 2) and interactions (types 0 and 1) should receive special attention to ensure HIT usability prior to implementing HIT in the field.

Community Health Recommendations Driven by mHealth Population Surveillance Data Amongst Burmese Displaced People in Eastern India: A Pilot Usability Assessment of a Mobile Health Application for Data Collection.

With recent increases in armed conflict and forced migration, refugee health has become a growing priority amongst those who work in global health. Refugees and forced migrants, also known as displaced persons, face barriers to accessing health services and are often at an increased risk for adverse health outcomes, such as sexual violence, infectious diseases, poor maternal outcomes, and mental health concerns. Mobile health (mHealth) applications have been shown to increase access and improve health outcomes among refugee populations. Our study aims to evaluate the feasibility of using a novel mHealth application to conduct population health surveillance data collection amongst a population of Myanmar citizens who have been forced to relocate to eastern India. The data collected in a low-resource setting through the mHealth application will be used to identify priority areas for intervention which will assist in the development of a tailored intervention plan that best suits our population.

Experiences of women with physical disabilities accessing prenatal care in low- and middle-income countries.

INTRODUCTION: Women with physical disabilities experience barriers to accessing patient-centered and accommodative care during the prenatal and childbirth periods. While there is a growing body of work in high-income countries to address these needs, there is little research detailing specific challenges in low- and middle-income countries (LMICs) where a woman's' burden- and need-is greatest. METHODS: We conducted an integrative review to synthesize the experiences of women with physical disabilities accessing prenatal care and childbirth services in LMICs. Five databases were searched for systematic reviews, retrospective cohort studies, cross-sectional studies, narrative literature reviews, as well as other evidence types. We used Ediom's EvidenceEngine™, a machine-assisted search engine that uses artificial intelligence to conduct this search using pertinent keywords to identify original research published between January 2009 - September 2018. These results were augmented by hand searching of reference lists. Forty articles were identified using this method and 11 retained after duplicates were removed and inclusion and exclusion criteria applied. RESULTS: Four types of experiences are described in these 11 studies: (1) limited physical and material resources; (2) health care worker knowledge, attitudes, and skills; (3) pregnant people's knowledge; and (4) public stigma and ignorance. DISCUSSION: People with physical disabilities face specific challenges during pregnancy and childbirth. Importantly, these findings offer targets for enhanced clinical training for nurses, midwives, traditional birth attendants and public health workers, as well as opportunities for the improved delivery of prenatal care and childbirth services to these vulnerable women.

ENDS use among college students: Salivary biomarkers and persistent cough.

Though e-cigarette aerosol has been associated with altered lung cell function, few studies have examined the effects of use on immune response and respiratory symptoms. The purpose of this study was to examine if recent persistent cough or cytokine levels are related to Electronic Nicotine Delivery Systems (ENDS) use in college students. In April 2019, 61 undergraduate students at the University of Kentucky completed surveys and provided a salivary sample to evaluate cytokine levels (Interleukin (IL-) 2, 4, 6, 8, 10, 12, 13 and TNFα, INFγ), using quota sampling to obtain comparable numbers of ENDS users and non-ENDS users. Data analysis included chi-square tests and multivariable logistic and linear regression. All ENDS users reported JUUL as their primary product. ENDS users were more likely to be younger, use cigarettes and marijuana, and report a persistent cough. Controlling for cigarette and marijuana use, there was a trend toward greater likelihood of persistent cough among ENDS users. Compared with nonusers, salivary IL-2 and INFγ were elevated and IL-4 was decreased, controlling for cigarette and marijuana use. There was a trend toward lower IL-12p70 values among ENDS users with these covariates. Findings reveal dysregulation of salivary immune profiles toward a TH1 phenotype in emerging adult ENDS users and short-term immune function may be dysregulated in young adult e-cigarette users.